Motivated by above observations,
we propose a general auxiliary Background Constraint idea to reduce localization errors. Specifically, we introduce a background score for the proposal's confidence, and its supervision signal is defined by the temporal Intersection-over-Anchor (tIoA) between the proposal and the background. This concept can be flexibly integrated into existing TAPG methods (e.g., BMN [1]}, GTAD [2]}) to improve the performance in a plug-and-play fashion.
